A mixed-integer programming approach to the clustering problem with an application in customer segmentation : Optimization and data mining

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Bibliographic Details
Published inEuropean journal of operational research Vol. 173; no. 3; pp. 866 - 879
Main Authors SAGLAM, Burcu, SALMAN, F. Sibel, SAYM, Serpil, TÜRKAY, Metin
Format Conference Proceeding
LanguageEnglish
Published Amsterdam Elsevier 2006
Subjects
Applied sciences
Computer science; control theory; systems
Data processing. List processing. Character string processing
Exact sciences and technology
Mathematical programming
Memory organisation. Data processing
Operational research and scientific management
Operational research. Management science
Software
Data analysis
Segmentation
Cluster
Mixed integer programming
Data processing
Information extraction
Data mining
Clustering
Computational complexity
Mixed-integer programming
Classification
Heuristic method
Diameter
Mathematical programming
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ISSN:0377-2217
1872-6860